About

Raj Ratn Pranesh is a highly skilled Machine Learning Engineer with a Bachelor's degree in Computer Science from Birla Institute of Technology, Mesra. Currently pursuing his MS in Computer Science from the University of Pennsylvania, Raj has gained significant experience working with top-notch companies in the technology industry. He is currently working as a Research and Development Intern at Samsung, where he is applying Machine Learning for 5G Channel Estimation. Prior to joining Samsung, Raj worked as a Machine Learning Engineer at Tiny Banyan Technologies, where he developed and deployed multiple microservices for YOLO, RetinaNet, based Machine Learning web application for in-cloud object detection task on videos. He also worked on developing a lite, efficient multimodal framework ECG classification task on MIT Bih dataset. Raj has also worked as a Research Assistant at Carnegie Mellon University, where he worked on a fine-grained classification and inference task of Tweets misinformation during the Covid-19 outbreak. Raj's technical expertise includes Research Scientist, AI, ML, Object detection, Mobile, Object Detection, Microservices, and Web. He has a relevant experience of 2.44 years and has a strong understanding of Machine Learning algorithms, deep learning, and computer vision. Raj is passionate about exploring new technologies and applying them to real-world problems. He is a quick learner and has excellent problem-solving skills. Raj is a highly motivated individual who is committed to achieving excellence in his work. He is a team player and has excellent communication skills. Raj is always willing to learn and is open to feedback. He is a self-starter and has a strong work ethic. With his skills and experience, Raj is a valuable asset to any organization.